* Experience building models deployed in a production system * Fluent in Python (most preferred), R or similar scripting language * 3+ years' experience developing supervised and unsupervised statistical/machine learning models utilizing both regression and classification techniques such as GLM, CART, Random Forest, GBM, XGBoost, Naive Bayes, SVMs, ANN, CNN, etc.

degree in Math, Statistics, Computer Science, Machine Learning, Computational Linguistics, Engineering, or a related field

* Collaborate with data collection teams to specify criteria for the creation of training and testing datasets * Collaborate with Product Management, Engineering and DevOps teams to build and deliver high quality, oftentimes deployed solutions * Analyze and gain an understanding of the available data sources and their potential to address needs * Work independently and collaborate with others on the Data Science team to solve a wide variety of challenging business and product needs with innovative data science techniques

If you're passionate about working with large data sets, researching and developing innovative products, all while having a big impact this role could be a great fit. ZoomInfo has a massive database of curated contact information, making it an ideal use case for innovation and adding immense value.

ZoomInfo is looking for a passionate and innovative Data Scientist with a strong background in defining and implementing data mining, statistical, and machine learning solutions to business and product related challenges.

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